AMR Country Hotspots

##  Family: zero_inflated_poisson 
##   Links: mu = log; zi = logit 
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_pcu + ln_livestock_pcu + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_gdp_per_capita + offset(ln_population) 
##          zi ~ ln_pubs_sum_per_capita + ln_gdp_per_capita + ln_population + english_spoken
##    Data: data[[i]] (Number of observations: 198) 
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
##          total post-warmup samples = 120000
## 
## Population-Level Effects: 
##                                     Estimate Est.Error l-95% CI u-95% CI
## Intercept                              -8.90      1.30   -11.49    -6.37
## zi_Intercept                           31.68      6.25    20.25    44.73
## ln_livestock_consumption_kg_per_pcu    -0.11      0.06    -0.22     0.02
## ln_livestock_pcu                       -0.43      0.03    -0.49    -0.36
## ln_migrant_pop_perc                    -0.00      0.05    -0.11     0.09
## ln_tourism_inbound_perc                 0.18      0.07     0.05     0.33
## ln_tourism_outbound_perc                0.01      0.13    -0.31     0.23
## ab_export_perc                          3.62      1.13     1.34     5.78
## health_expend_perc                      0.13      0.02     0.09     0.16
## human_consumption_ddd                   0.08      0.02     0.05     0.11
## english_spoken                         -0.15      0.11    -0.36     0.08
## ln_gdp_per_capita                       0.07      0.09    -0.11     0.25
## zi_ln_pubs_sum_per_capita              -0.20      0.21    -0.62     0.19
## zi_ln_gdp_per_capita                   -1.47      0.28    -2.06    -0.96
## zi_ln_population                       -1.25      0.21    -1.70    -0.86
## zi_english_spoken                      -1.01      0.64    -2.30     0.23
##                                     Eff.Sample Rhat
## Intercept                                   90 1.74
## zi_Intercept                             82898 1.00
## ln_livestock_consumption_kg_per_pcu        143 1.32
## ln_livestock_pcu                            99 1.60
## ln_migrant_pop_perc                         95 1.65
## ln_tourism_inbound_perc                     77 2.16
## ln_tourism_outbound_perc                    69 2.85
## ab_export_perc                             123 1.40
## health_expend_perc                         110 1.49
## human_consumption_ddd                       82 1.92
## english_spoken                             119 1.43
## ln_gdp_per_capita                           89 1.75
## zi_ln_pubs_sum_per_capita                56734 1.00
## zi_ln_gdp_per_capita                     89516 1.00
## zi_ln_population                         83336 1.00
## zi_english_spoken                         1113 1.03
## 
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample 
## is a crude measure of effective sample size, and Rhat is the potential 
## scale reduction factor on split chains (at convergence, Rhat = 1).

## [1] TRUE